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Mixed-initiative in human augmented mapping
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2009 (English)In: ICRA: 2009 IEEE International Conference on Robotics and Automation, IEEE , 2009, 2146-2153 p.Conference paper, Published paper (Refereed)
Abstract [en]

In scenarios that require a close collaboration and knowledge transfer between inexperienced users and robots, the "learning by interacting" paradigm goes hand in hand with appropriate representations and learning methods. In this paper we discuss a mixed initiative strategy for robotic learning by interacting with a user in a joint map acquisition process. We propose the integration of an environment representation approach into our interactive learning framework. The environment representation and mapping system supports both user driven and data driven strategies for the acquisition of spatial information, so that a mixed initiative strategy for the learning process is realised. We evaluate our system with test runs according to the scenario of a guided tour, extending the area of operation from structured laboratory environment to less predictable domestic settings.

Place, publisher, year, edition, pages
IEEE , 2009. 2146-2153 p.
Series
Proceedings - IEEE International Conference on Robotics and Automation, ISSN 1050-4729
Keyword [en]
Knowledge management, Robotics, Robots
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-153563DOI: 10.1109/ROBOT.2009.5152683ISI: 000276080401199Scopus ID: 2-s2.0-70350379384ISBN: 978-142442789-5 (print)OAI: oai:DiVA.org:kth-153563DiVA: diva2:753506
Conference
2009 IEEE International Conference on Robotics and Automation, ICRA '09, 12 May 2009 through 17 May 2009, Kobe, Japan
Note

QC 20141008

Available from: 2014-10-08 Created: 2014-10-06 Last updated: 2014-10-08Bibliographically approved

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Topp, Elin A.
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Computer Vision and Active Perception, CVAP
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf